CVE-2022-35985

TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
GitHub_MCNA
5.9 MEDIUM
NETWORK
HIGH
NONE
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Base Score
CVSS 3.x
EPSS Score
Percentile: 20%
Affected Products (NVD)
VendorProductVersion
googletensorflow
𝑥
< 2.7.2
googletensorflow
2.8.0 ≤
𝑥
< 2.8.1
googletensorflow
2.9.0 ≤
𝑥
< 2.9.1
googletensorflow
2.10:rc0
googletensorflow
2.10:rc1
googletensorflow
2.10:rc2
googletensorflow
2.10:rc3
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
VendorProductVersionSource
tensorflowtensorflow
𝑥
< 2.7.2
CNA
Common Weakness Enumeration
References
https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp